coreFormatIn

CEGUI中文显示和输入源代码demo,CEGUI中文显示和输入源代码demo(CEGUI Chinese display and input source code demo, CEGUI Chinese display and input source code demo)

3GPP标准Turbo码编码译码仿真Matlab6.5及VC6.0源代码，并包含Turbo码编码译码原理的介绍文档。(3GPP standard Turbo coding and decoding simulation VC6.0 Matalab 6.5 source code , and includes Turbo Encoder Decoder description of the principle of documentation.)

使用CRgn对象得到某一特定区域，C++精选学习源码，很好的参考资料。(Use the CRgn object to get a specific area, select learning C++ source code, a good reference.)

三次样条插值，拉格朗日，分段线性插值的matlab程序(Cubic spline, the piecewise function interpolation method and Lagrangian matlab program, for example)

FilesDragDrop application

一个用MFC写的滤波器源代码，代码结构非常精巧，可以参考 功能：1 固定带通滤波 2 可变带通滤波 3 噪声删除 4 输入输出误差计算 实现比较简单，由于使用了Microsoft Foundation classes，代码流程很简单，但是实现的功能比较充分 Filter.h：头文件，定义了CFilterApp 类 Filter.cpp：利用MFC的函数实现了CFilterApp Filter.rc：资源文件，包括对话框和图标的说明(use a filter to write MFC source code, code structure is very delicate, can be functional : a fixed band-pass filtering two variable bandpass filter to delete four 3 noise input and output error calculation is relatively simple to achieve. As the use of Microsoft Foundation classes, code process is simple, but to achieve the more fully functional Filter.h : The first document, CFilterApp definition of the category Filter.cpp : MFC function realized CFilterApp Filter.rc : resource files, including dialog box and the note icon)

用kalman滤波算法来跟踪鼠标, 小有意思的程序, 有助于理解kalman算法(Using kalman filter algorithm to track the mouse, a small interesting programs, help to understand the kalman algorithm)

说明：  基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数(Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space of the basic image pixels are positive, and face image in the sub-space projection coefficient is positive)

矩阵的运算，在此贡献，希望大家多多指点。(Matrix computation, in this contribution, we hope that a lot of guidance.)

预测分类，针对目标样本进行训练比对，预测有可能发生的情况(Predictive classification, target training samples compared to predicted situation may occur)